variables: 899099

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
899099 Gini coefficient (disposable income) - Total     2024-04-11 13:47:06 2024-07-08 17:11:25     1976-2022 6465     
{
    "name": "Gini coefficient (disposable income)",
    "tolerance": 5,
    "numDecimalPlaces": 2
}
 0     gini_disposable__age_total grapher/oecd/2024-04-10/income_distribution_database/income_distribution_database#gini_disposable__age_total 
{
    "filters": [
        {
            "name": "age",
            "value": "Total"
        }
    ],
    "originalName": "Gini coefficient (disposable income) - Total",
    "originalShortName": "gini_disposable"
}
 2 minor   Gini coefficient (disposable income)       The [Gini coefficient](#dod:gini) measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The Gini coefficient is based on the comparison of cumulative proportions of the population against cumulative proportions of income they receive, and it ranges between 0 in the case of perfect equality and 1 in the case of perfect inequality. Data calculated according to the new OECD Terms of reference. Compared to previous terms of reference, these include a more detailed breakdown of current transfers received and paid by households as well as a revised definition of household income, including the value of goods produced for own consumption as an element of self-employed income. The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries’ performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of “equivalised household disposable income”, i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people’s economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries. Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country. Small changes in estimates between years should be treated with caution as they may not be statistically significant. 
[
    "Income is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.",
    "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
    "The entire population of each country is considered\n, and also the income definition is the newest from the OECD since 2012. For more information on the methodology, visit the [OECD Income Distribution Database (IDD)](http://www.oecd.org/social/income-distribution-database.htm).",
    "Survey estimates for 2020 are subject to additional uncertainty and are to be treated with extra caution, as in most countries the survey fieldwork was affected by the Coronavirus (COVID-19) pandemic."
]
         float 
[]
 21dd807d51762381fbcea46d92c86721 1853f18450e20bc60d3334b5d7629a06

Links from other tables